设计不同的评分函数(score functions)进行模型不确定性估计 [1,2]; 利用辅助异常值(auxiliary outliers)对模型进行微调 [2,3],来获取及提升模型分辨分布外样本的能力。 考虑到分布外检测与原始任务间存在一定的任务目标差异(例如,考虑基础的分布内数据(Indistribution data, ID data)分类目标与识别分布外样本的目标...
给定在原有任务下训练好的模型,之前的研究工作主要探索:1)设计不同的评分函数(score functions)进行模型不确定性估计[1,2];2)利用辅助异常值(auxiliary outliers)对模型进行微调[2,3],来获取及提升模型分辨分布外样本的能力。 沿着以上的研究问题,在本工作中我们发现: 在获取更优的分布外分辨能力和更好的分布内...
This is the official code repository for the paper Exploring Chemical Space with Score-based Out-of-distribution Generation (ICML 2023), in which we propose Molecular Out-Of-distribution Diffusion (MOOD).ContributionWe propose a novel score-based generative model for OOD generation, which overcomes ...
shortcut) between representation and target across varied data distributions can tackle the challenging out-of-distribution (OOD) generalization problem. In personalized federated learning (PFL), heterogeneous data distribution across local clients offers the inherent prerequisites to extract the invariant fea...
实验结果显示,我们的方法在保证与GPT-3.5、Llama 2 70B 模型相近的准确率的同时,能够将推理成本降低...
cd run_scripts/image_gen ; sh evaluate_image_gen.sh # inference & evaluate (FID, IS and CLIP Score) Visual Question Answering Here we provide the finetuning and inference codes to reproduce the VQAv2 result reported in our paper (test-std 80.02). We believe much improvement on accuracy ca...
给定在原有任务下训练好的模型,之前的研究工作主要探索:1)设计不同的评分函数(score functions)进行模型不确定性估计[1,2];2)利用辅助异常值(auxiliary outliers)对模型进行微调[2,3],来获取及提升模型分辨分布外样本的能力。 沿着以上的研究问题,在本工作中我们发现: ...
更新:可恶,自己不能给自己点赞,害得我遇上了必须引他发表在IEEE access上『顶级文章』的审稿人。更...
^Generative Modeling by Estimating Gradients of the Data Distribution https://yang-song.net/blog/2021/score/ ^Reverse-Time SDE https://ludwigwinkler.github.io/blog/ReverseTimeAnderson/ 编辑于 2023-10-25 07:21・IP 属地瑞典 内容所属专栏 Probabilistic model 计算机视觉和概率模型理论+应用 订阅专栏...
Average F1-score & Worst F1-score Adjusted Accuracy Balanced Accuracy AUROC & AUPRC Expected Calibration Error (ECE) Model Selection Criteria We highlight the impact of whether attribute is known in (1)training setand (2)validation set, where the former is specified by--train_attrintrain.py,...